DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Texto & contexto enfermagem (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316 |
Resumo: | ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation. |
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DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROMESleepAcute coronary syndromeNursing diagnosisNursing processCoronary care unitsValidation studiesABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316Texto & Contexto - Enfermagem v.29 2020reponame:Texto & contexto enfermagem (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSC10.1590/1980-265x-tce-2018-0345info:eu-repo/semantics/openAccessManzoli,Juliana Prado BianiMontanari,Fábio LuisCarvalho,Luciana Aparecida CostaFerreira,Raisa CamiloRibeiro,ElaineDuran,Erika Christiane Maroccoeng2020-02-05T00:00:00Zoai:scielo:S0104-07072020000100316Revistahttp://www.scielo.br/tcePUBhttps://old.scielo.br/oai/scielo-oai.phptextoecontexto@nfr.ufsc.br1980-265X0104-0707opendoar:2020-02-05T00:00Texto & contexto enfermagem (Online) - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
title |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
spellingShingle |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME Manzoli,Juliana Prado Biani Sleep Acute coronary syndrome Nursing diagnosis Nursing process Coronary care units Validation studies |
title_short |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
title_full |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
title_fullStr |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
title_full_unstemmed |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
title_sort |
DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME |
author |
Manzoli,Juliana Prado Biani |
author_facet |
Manzoli,Juliana Prado Biani Montanari,Fábio Luis Carvalho,Luciana Aparecida Costa Ferreira,Raisa Camilo Ribeiro,Elaine Duran,Erika Christiane Marocco |
author_role |
author |
author2 |
Montanari,Fábio Luis Carvalho,Luciana Aparecida Costa Ferreira,Raisa Camilo Ribeiro,Elaine Duran,Erika Christiane Marocco |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Manzoli,Juliana Prado Biani Montanari,Fábio Luis Carvalho,Luciana Aparecida Costa Ferreira,Raisa Camilo Ribeiro,Elaine Duran,Erika Christiane Marocco |
dc.subject.por.fl_str_mv |
Sleep Acute coronary syndrome Nursing diagnosis Nursing process Coronary care units Validation studies |
topic |
Sleep Acute coronary syndrome Nursing diagnosis Nursing process Coronary care units Validation studies |
description |
ABSTRACT Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-07072020000100316 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-265x-tce-2018-0345 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem |
dc.source.none.fl_str_mv |
Texto & Contexto - Enfermagem v.29 2020 reponame:Texto & contexto enfermagem (Online) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Texto & contexto enfermagem (Online) |
collection |
Texto & contexto enfermagem (Online) |
repository.name.fl_str_mv |
Texto & contexto enfermagem (Online) - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
textoecontexto@nfr.ufsc.br |
_version_ |
1750118395808841728 |